Tekijä: Didier Dubois (ed.); Maria Asuncion Lubiano (ed.); Henri Prade (ed.); María Angeles Gil (ed.); Przemyslaw (ed Grzegorzewski Kustantaja: Springer (2008) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Narayanaswamy Balakrishnan (ed.); María Ángeles Gil (ed.); Nirian Martín (ed.); Domingo Morales (ed.); María del Carm Pardo Kustantaja: Springer (2022) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Narayanaswamy Balakrishnan (ed.); María Ángeles Gil (ed.); Nirian Martín (ed.); Domingo Morales (ed.); María del Carm Pardo Kustantaja: Springer (2023) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Christian Borgelt (ed.); Gil González Rodríguez (ed.); Wolfgang Trutschnig (ed.); María Asunción Lubiano (ed.); Angeles Gil Kustantaja: Springer (2010) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Maria Brigida Ferraro (ed.); Paolo Giordani (ed.); Barbara Vantaggi (ed.); Marek Gagolewski (ed.); María Ángeles Gil (ed.) Kustantaja: Springer (2016) Saatavuus: Noin 17-20 arkipäivää
EUR 172,80
The Mathematics of the Uncertain : A Tribute to Pedro Gil
Springer Sivumäärä: 917 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2018, 12.03.2018 (lisätietoa) Kieli: Englanti
This book is a tribute to Professor Pedro Gil, who created the Department of Statistics, OR and TM at the University of Oviedo, and a former President of the Spanish Society of Statistics and OR (SEIO). In more than eighty original contributions, it illustrates the extent to which Mathematics can help manage uncertainty, a factor that is inherent to real life. Today it goes without saying that, in order to model experiments and systems and to analyze related outcomes and data, it is necessary to consider formal ideas and develop scientific approaches and techniques for dealing with uncertainty. Mathematics is crucial in this endeavor, as this book demonstrates. As Professor Pedro Gil highlighted twenty years ago, there are several well-known mathematical branches for this purpose, including
Mathematics of chance (Probability and Statistics),
Mathematics of communication (Information Theory), and
Mathematics of imprecision (FuzzySets Theory and others).
These branches often intertwine, since different sources of uncertainty can coexist, and they are not exhaustive. While most of the papers presented here address the three aforementioned fields, some hail from other Mathematical disciplines such as Operations Research; others, in turn, put the spotlight on real-world studies and applications.
The intended audience of this book is mainly statisticians, mathematicians and computer scientists, but practitioners in these areas will certainly also find the book a very interesting read.
